Prathik Roy, Product Director for Data and AI Solutions and former quantum chemist, explains how publishers can unlock and monetize the hidden value in scientific content. He discusses AI-driven shifts in content visibility, risks around training on paywalled material, structuring articles for machine consumption, attribution concerns, and new data-as-a-service monetization and rights strategies.
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question_answer ANECDOTE
Scientist Turned Product Director
Prathik moved from quantum chemistry research to product after consulting for publishers on extracting R&D value.
He discovered he could translate scientific content into monetizable products and switched careers about 12 years ago.
insights INSIGHT
Value Shifts From Full Texts To AI Summaries
Value from publishing is shifting from users reading full texts to AI-generated synthesized summaries.
Prathik Roy explains scientists may never open PDFs again because AI assistants can read hundreds of papers and produce syntheses.
insights INSIGHT
Scientific Content Is Premium Training Data
Scientific content is uniquely valuable because it's peer-reviewed and validated, attracting both big tech and niche AI developers.
Prathik notes smaller teams build domain-specific models (e.g., cancer) that rely heavily on publisher datasets.
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Prathik Roy is Product Director for Data and AI Solutions at Springer Nature, one of the world's largest academic publishing companies. A quantum chemist and material scientist by training, he spent years in R&D before gravitating towards product management — and has spent the past 12 years helping publishers understand the value locked inside their content. In this episode, Prathik makes the case that publishers are sitting on some of the most strategically valuable data in the world, and that most of them are only beginning to understand what that means in the age of AI.
In this episode, we cover:
(00:00) Introduction: from quantum chemistry to product management
(05:00) The Schrödinger problem: why content value is increasingly unknowable
(08:00) How traditional publishing metrics worked — and why they broke
(11:30) The ChatGPT moment and its impact on scientific publishing
(15:00) Paywalls, subscription models, and the shift to data licensing
(21:30) How scientific content earns its quality — and why AI cannot just follow the citations
(26:00) Why AI developers want bullet points — and what that means for content structure
(29:00) New monetisation models: tokens, outcomes, and data as a service
(33:00) Rights management: rights in, rights out, and why the prohibited section matters
(36:30) Measuring content value when your users live inside AI systems
(38:00) What to do with your content archive: extraction, licensing, and prediction markets
Our Hosts Lily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She’s currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She’s worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.
Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury’s. He participated in Silicon Valley Product Group’s Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He’s the author of What Do We Do Now? A Product Manager’s Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon’s music stores in the US & UK.
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